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Voice-Enabled AI Agents can Perform Common Scams

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arxiv 2410.15650 v1 pith:NJAVKH4U submitted 2024-10-21 cs.AI

classification cs.AI
keywords agentsvoice-enabledperformscamscommonactionscapabilitiesnecessary
verification ladder T0 review T1 audit T2 compute T3 formal
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Recent advances in multi-modal, highly capable LLMs have enabled voice-enabled AI agents. These agents are enabling new applications, such as voice-enabled autonomous customer service. However, with all AI capabilities, these new capabilities have the potential for dual use. In this work, we show that voice-enabled AI agents can perform the actions necessary to perform common scams. To do so, we select a list of common scams collected by the government and construct voice-enabled agents with directions to perform these scams. We conduct experiments on our voice-enabled agents and show that they can indeed perform the actions necessary to autonomously perform such scams. Our results raise questions around the widespread deployment of voice-enabled AI agents.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Levels of Autonomy for AI Agents

    cs.HC 2025-06 conditional novelty 6.0 of 10

    A user-role-based five-level framework for designing, certifying, and evaluating AI agent autonomy as a choice independent of agent capability.

  2. From Turing to Tomorrow: The UK's Approach to AI Regulation

    cs.CY 2025-07 conditional novelty 2.0 of 10

    The UK should establish a flexible, principles-based regulator for frontier AI development, plus defensive measures against biological risks and updated legal frameworks for copyright, discrimination, and AI agents.

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